Techaisle Blog

The rise in virtualization has been driving an accompanying demand for converged infrastructure or hyperconvergence: products that combine processing, storage and networking into a robust and scalable unit that can support and respond to the options inherent in virtualization. While the migration from separate server, storage and networking products to converged infrastructure is still in its early stages, the Techaisle SMB virtualization & converged infrastructure survey shows that it is beginning to gain traction, especially within more sophisticated SMB accounts.

Scale computing, launched in 2008, based out of Indianapolis with development in San Francisco bay area and offices in London, Paris, Toronto and Dubai made its SMB focused hyperconvergence launch at VMworld in 2012. Since then Scale Computing has implemented over 6,000 systems in a little over 1,600 customers.

As per Techaisle’s SMB virtualization and converged infrastructure survey, the key barriers to adopting hyperconvergence within SMBs are high cost of implementation, infrastructure disruption during roll-out, greater-than-anticipated time and resource investment, and the complexity of integrating new infrastructure units with existing infrastructure. For example, a pet peeve of SMBs when using VMware on HP Proliant DL380 G8 is their inability to use cloud migration to upgrade or add G8 or G9. These are the issues that Scale Computing is trying to address. In defense of VMware, although the initial code base of ESX was never built to be self-aware, VMware is working on it.

Intrinsic to positioning any IT-enabled solution is an understanding of the benefits that the customer anticipates obtaining from deployment of the technology. Buyers need to understand how the solution helps them to increase revenues, cut costs, improve efficiency or otherwise enhance shareholder value; vendors need to be able to position their offerings as a means to achieving these objectives.

While there is a close relationship between “analytics” and “Big Data” – and they are often conflated in the press – the two technologies follow somewhat different paths into SMB user environments. Techaisle research has found that analytics solutions tend to be driven by BDMs – business users looking for better ways of approaching high-priority business issues. In some cases, this requires access to vast quantities of high-velocity, variegated sources, which in turn demands a Big Data solution – but in contrast to analytics adoption, Big Data initiatives rely heavily on IT for implementation and ongoing management, and represents a solution area that requires collaboration between BDMs and ITDMs.

While SMB Big Data buyers view support for (predictive) analytics as their top acquisition driver, they also have distinct needs and preferences that suppliers must consider in building a sales and marketing strategy.

One interesting observation contained within Techaisle’s 2016 SMB & Midmarket Analytics Adoption survey results is the relationship between sales channel and analytics strategy. The survey of 1,116 US SMBs found that a higher percentage of businesses with an omni-channel approach that includes both online and offline sales channels are using analytics than those relying entirely on either online or offline sales. In fact, overall, 85% of omni-channel SMBs are using analytics and 38% are using big data solutions. On the planned side of the equation, another 46% of omni-channel SMBs are investigating use of big data technologies. Even the average spending on analytics by omni-channel SMBs is 3X that of eCommerce only SMBs and 6X of those that do not sell online.

Data illustrates that nearly 60% of SMBs (and almost three-quarters of midmarket firms) employing an omni-channel strategy are already using analytics to track website hits – a rate that is higher than for firms using ecommerce-only, and much higher than for firms that do not use online sales.

Another set of data adds context to this focus on website tracking. Omni-channel businesses tend not to be using particularly advanced approaches to analytics:

• 39% use “descriptive” analytics, and
• 30% have deployed “predictive” or “prescriptive” analytics.

However, omni-channel firms do tend to have some type of strategy – only 5% report that their use of analytics is ad hoc, vs. 13% of ecommerce-only firms and 18% of firms with no online sales.

The current analytics solution deployment & usage differs greatly from future plans within the omni-channel SMBs.  

In today’s SMB market, it is critical for vendors to build detailed understanding of the small and midmarket segments, and to align resources and strategies with requirements as SMBs move from initial experimentation with sophisticated solutions towards mass-market adoption.

In the report, Analytics and Big Data in the US SMB market, Techaisle analyzes over 1100 survey responses to provide the insight needed to build and execute on analytics and big data solution strategies for the small and midmarket customer segments. Techaisle’s deep understanding of SMB IT and business requirements enables vendors to understand the ‘why’ and ‘when’ of solution adoption, current and planned approaches to solution use, the benefits that drive user investments, and key issues in aligning with buyers and building and intercepting demand.

Highlights of data presented in this report include: